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CN107767956A - A kind of health risk assessment and management method based on biological electricity induction technology - Google Patents

A kind of health risk assessment and management method based on biological electricity induction technology
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Publication number
CN107767956A
CN107767956ACN201711021638.3ACN201711021638ACN107767956ACN 107767956 ACN107767956 ACN 107767956ACN 201711021638 ACN201711021638 ACN 201711021638ACN 107767956 ACN107767956 ACN 107767956A
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data
health risk
health
human body
physiological data
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CN201711021638.3A
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侯永捷
李向东
王佳名
李宏兵
张晓红
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Huisianpu Medical System Inc
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Huisianpu Medical System Inc
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Abstract

The invention discloses a kind of health risk assessment and management method based on biological electricity induction technology.This method includes:Human body physiological data is gathered in preset time period by biopotential sensor;Abnormal data in each human body physiological data is filtered out;With reference to personal stage animation, the first health risk coefficient is determined;With reference to climatic environment data, the second health risk coefficient is determined;With reference to relationship heredity medication history, the 3rd health risk coefficient is determined;According to health risk coefficient generation personal health management report corresponding to each human body physiological data.The present invention is accurately and reliably gathered using biopotential sensor to each physiological data of human body, by to three class physiological datas, health risk coefficient is determined respectively with reference to personal, weather and inherent cause, accurately and reliably, the data for participating in assessing are comprehensive, and classify and assess for the data gathered, assessment factor considers comprehensive, health risk coefficient is specifically accurate, and reliability is high, ensure that the validity of health evaluating management result.

Description

A kind of health risk assessment and management method based on biological electricity induction technology
Technical field
The present invention relates to medical treatment & health evaluation areas, more particularly relates to a kind of healthy wind based on biological electricity induction technologyDanger is assessed and management method.
Background technology
The prevention of chronic disease is mainly the three early measures of " early diagnosis, early discovery, early treatment ".The purpose of medicine body is onlyIt is to find with patient existing disease, have basic gap with the prevention theory of " preventing trouble before it happens ", treat diseaseWhen being found, patient has often occupy the middle and advanced stage of disease.Routine physical examination could be given after often lesion can only occurring to bodyGo out the judgement of " normal " or " abnormal ", to being in disease incubation period in other words between " normal " and "abnormal" stage,When great risk simply be present, then valuable judgement can not be provided.Therefore, in the diversified today of living, it is strong to manage itselfHealth already turns into the problem of very urgent.
Health control is the health by understanding people, manages the health of people, so as to improve the health of people, refers to oneKind carries out the process of comprehensive management to personal or crowd health risk factors.However, in traditional health control method due toThe project of health evaluating is not comprehensive enough, and some unmentionable diseases can not detect, unhealthful to assess management result.
In summary, health risk assessment management of the prior art, exist because the project of health evaluating is not comprehensive enough,Unhealthful the problem of assessing management result.
The content of the invention
The embodiment of the present invention provides a kind of health risk assessment and management method based on biological electricity induction technology, to solveCertainly exist in the prior art because the project of health evaluating is not comprehensive enough, unhealthful the problem of assessing management result.
The embodiment of the present invention provides a kind of health risk assessment and management method based on biological electricity induction technology, including:
Human body physiological data is gathered in preset time period by biopotential sensor;Wherein, human body physiological data includes:The physiological data relevant with individual, the physiological data relevant with weather, and the physiological data relevant with heredity;
Each human body physiological data in preset time period is collected respectively;By the abnormal data in each human body physiological dataFilter out, and by the normal data classification storage in each human body physiological data into acquisition database;
With reference to personal stage animation, by physiological data relevant with individual in acquisition database and corresponding personal peopleBody normal index data are contrasted, and assess the first health risk grade;And by the first health risk grade and the first weightThe product of value as the first health risk coefficient, wherein, the first weighted value is the numerical value relevant with individual factor;
With reference to climatic environment data, by physiological data relevant with weather in acquisition database with corresponding to personal human body justNormal achievement data is contrasted, and assesses the second health risk grade;And by the second health risk grade and the second weighted valueProduct as the second health risk coefficient, wherein, the second weighted value is the numerical value relevant with individual factor and climatic factor;
With reference to relationship heredity medication history, by physiological data relevant with heredity in acquisition database with corresponding to personal human body justNormal achievement data is contrasted, and assesses the 3rd health risk grade;And by the 3rd health risk grade and the 3rd weighted valueProduct as the 3rd health risk coefficient, wherein, the 3rd weighted value is the numerical value relevant with individual factor and relationship inherent cause;
The first health risk coefficient, the second health risk coefficient and the 3rd healthy wind according to corresponding to each human body physiological dataDangerous coefficient, the management report of generation personal health;Wherein, personal health management is reported, including:Health guidance data, health-oriented productsData, health education data and health insurance data.
Preferably, it is described that human body physiological data is gathered in preset time period by biopotential sensor;Specifically include:
By the one low-voltage direct-current electro photoluminescence for being less than physiology benchmark of biomedical information acquisition electrode-induced human body, whileWhole body difference is acquired to the electrical conduction value of human body, and the electrical conduction value of human body is divided using data-signal processing moduleComputer is forwarded to after analysis processing and is shown.
Preferably, the human body physiological data, including:Heart rate HR, core signal ECG and heart rate variability signals HRV.
Preferably, the abnormal data by each human body physiological data filters out, and specifically includes:
Each human body physiological data is contrasted with corresponding human body physiological data average value, when the human body of contrast is given birth toWhen reason data are more than 8% with the percentage of corresponding human body physiological data average value, the human body physiological data of contrast is filtered out, it is noThen retain.
Preferably, the personal stage animation, including:Sleep state, fatigue state, mood states and feelings of having a mealCondition.
Preferably, by each something lost in physiological data relevant with heredity in acquisition database and human genetic diseases' databaseDisease data are passed to be contrasted;If it does, then there is hereditary disease;If it does not match, without hereditary disease.
Preferably, the health guidance data, including:Appropriate dietary guide scheme, exercise guidance scheme and medical treatment guidance program.
Preferably, the health-oriented products data, including:Self-test Medical Instruments information, rehabilitation medical device information, health care foodProduct information and skin care product information.
Preferably, the educational data, including:Health education books, video and lecture courseware.
In the embodiment of the present invention, there is provided a kind of health risk assessment and management method based on biological electricity induction technology, withPrior art is compared, and its advantage is as follows:
The present invention is accurately and reliably gathered using accurate various biopotential sensors to each physiological data of human body, is led toA pair physiological data relevant with individual, the physiological data relevant with weather, and the physiological data relevant with heredity are crossed, with reference to individualPeople's factor, climatic factor and inherent cause determine health risk coefficient respectively, that is, the data gathered accurately and reliably, participate in what is assessedData are comprehensive, and classify and assess, and assessment factor considers comprehensive, reliability height specifically more accurate than common health risk grade, fromAnd it ensure that the validity of health evaluating management result.
Further, human body physiological data is obtained using biological inductive technologies, i.e., is gathered using corresponding biopotential sensorHuman body physiological data, such as, blood sensor, pyroscan, temperature sensor etc.;Gathered by biopotential sensorHuman body physiological data is accurate comprehensively reliable, can directly obtain initial data and carry out complex process, and gatherer process is succinctly squareJust.
Further, personal health management report is generated according to specific health risk coefficient, and personal health management is reportedManagement information is provided in terms of four so that personal health manages comprehensive and reasonable, has the reliable directive significance of science.
Brief description of the drawings
Fig. 1 is a kind of health risk assessment and management method based on biological electricity induction technology provided in an embodiment of the present inventionFlow chart.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, completeSite preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based onEmbodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not madeEmbodiment, belong to the scope of protection of the invention.
Fig. 1 is a kind of health risk assessment and management method based on biological electricity induction technology provided in an embodiment of the present inventionFlow chart.As shown in figure 1, this method includes:
Step S1, human body physiological data is gathered in preset time period by biopotential sensor;Wherein, Human Physiology numberAccording to including:The physiological data relevant with individual, the physiological data relevant with weather, and the physiological data relevant with heredity.
Preferably, human body physiological data is gathered in preset time period by biopotential sensor;Specifically include:Pass through lifeThe one low-voltage direct-current electro photoluminescence for being less than physiology benchmark of thing information gathering electrode-induced human body, while in whole body difference to peopleThe electrical conduction value of body is acquired, and is forwarded to after being analyzed and processed using data-signal processing module to the electrical conduction value of human bodyComputer is simultaneously shown.
It should be noted that biopotential sensor is generally made up of active electrode and digital signal processing module.Due to peopleBody bioelectrical signals amplitude is faint, is often submerged in various ambient noises, therefore, is generally included in Digital Signal Processing mould specialBiological electricity Sense Amplification device.For electrode, the impedance between electrode and skin is as far as possible small, i.e., between electrode and skinContact well will reduce the displacement that both are likely to occur as far as possible, so as to reduce the complexity of circuit to meet the need of low-power consumptionAsk.
Preferably, the human body physiological data in step S1, including:Heart rate HR, core signal ECG and heart rate variability signalsHRV。
It should be noted that obtaining human body physiological data using biological inductive technologies, i.e., sensed using corresponding biological electricityDevice gathers human body physiological data, such as, blood sensor, pyroscan etc.;The human body gathered by biopotential sensorPhysiological data is accurate comprehensively reliable, can directly obtain initial data and carry out complex process, and gatherer process succinctly facilitates.
Step S2, each human body physiological data in preset time period is collected respectively;By in each human body physiological dataAbnormal data filters out, and by the normal data classification storage in each human body physiological data into acquisition database.
Preferably, filtering out the abnormal data in each human body physiological data in step S2, specifically includes:
Each human body physiological data is contrasted with corresponding human body physiological data average value, when the human body of contrast is given birth toWhen reason data are more than 8% with the percentage of corresponding human body physiological data average value, the human body physiological data of contrast is filtered out, it is noThen retain.
It should be noted that filter out due to the abnormal number in human body physiological data caused by measurement error or other reasonsesAccording to ensure that the data reliability for participating in health risk assessment is high.
Step S3, with reference to personal stage animation, by physiological data relevant with individual in acquisition database and correspondinglyPersonal human normal achievement data is contrasted, and assesses the first health risk grade;And by the first health risk grade withThe product of first weighted value as the first health risk coefficient, wherein, the first weighted value is the numerical value relevant with individual factor.
Preferably, the personal stage animation in step S3, including:Sleep state, fatigue state, mood states and eatMeal situation.
Step S4, with reference to climatic environment data, by physiological data relevant with weather in acquisition database and corresponding individualHuman normal achievement data contrasted, assess the second health risk grade;And by the second health risk grade and secondThe product of weighted value as the second health risk coefficient, wherein, the second weighted value is relevant with individual factor and climatic factorNumerical value.
Step S5, with reference to relationship heredity medication history, by physiological data relevant with heredity in acquisition database and corresponding individualHuman normal achievement data contrasted, assess the 3rd health risk grade;And by the 3rd health risk grade and the 3rdThe product of weighted value as the 3rd health risk coefficient, wherein, the 3rd weighted value is has with individual factor and relationship inherent causeThe numerical value of pass.
Preferably, analogy step S5, in the embodiment of the present invention, in addition to step:Will be relevant with heredity in acquisition databasePhysiological data contrasted with each hereditary disease data in human genetic diseases' database;If it does, then there is hereditary disease;Such asFruit mismatches, then without hereditary disease.Whether the step is used to search individual from human genetic diseases' database with unrelated with relationshipMutation human genetic diseases so that the inspection to human body is more comprehensive.
It should be noted that above-mentioned steps S1~S5 is the health risk assessment method based on biological inductive technologies;Wherein,Step S3~S5 determines health risk coefficient respectively in terms of three, specifically, health risk grade is determined according to comparing result,Further according to health risk grade and the weighted value relevant with individual factor, climatic factor and inherent cause, health risk system is determinedNumber, i.e. the common health risk grade of health risk coefficient ratio is specifically accurate, and reliability is high.
Step S6, the first health risk coefficient, the second health risk coefficient and according to corresponding to each human body physiological dataThree health risk coefficients, the management report of generation personal health;Wherein, personal health management is reported, including:Health guidance data,Health-oriented products data, health education data and health insurance data.
Preferably, the health guidance data in step S6, including:Appropriate dietary guide scheme, exercise guidance scheme and medical treatment refer toLead scheme;Health-oriented products data, including:Self-test Medical Instruments information, rehabilitation medical device information, health food information and skin careProduct information;Educational data, including:Health education books, video and lecture courseware.
It should be noted that above-mentioned steps S6 is the management process to health risk assessment result.I.e. according to specific strongThe generation personal health management report of health risk factor, and personal health management report provides management information in terms of four so thatPersonal health manages comprehensive and reasonable, has the reliable directive significance of science.
In summary, in the embodiment of the present invention, each physiological data using accurate various biopotential sensors to human bodyAccurately and reliably gathered, had by a pair physiological data relevant with individual, the physiological data relevant with weather, and with heredityThe physiological data of pass, health risk coefficient is determined respectively with reference to individual factor, climatic factor and inherent cause, than common healthRisk class is specifically accurate, and reliability is high.
Disclosed above is only several specific embodiments of the present invention, and those skilled in the art can be carried out to the present inventionIt is various to change with modification without departing from the spirit and scope of the present invention, if these modifications and variations of the present invention belong to the present inventionWithin the scope of claim and its equivalent technologies, then the present invention is also intended to comprising including these changes and modification.

Claims (9)

CN201711021638.3A2017-10-272017-10-27A kind of health risk assessment and management method based on biological electricity induction technologyPendingCN107767956A (en)

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CN110706822A (en)*2019-09-202020-01-17上海派拉软件股份有限公司Health management method based on logistic regression model and decision tree model
CN110808102A (en)*2019-11-012020-02-18广州红腾文化科技有限公司Information pushing method, system and terminal of health platform
CN112399819A (en)*2018-07-022021-02-233M创新有限公司Sensing system and method for monitoring a time-dependent process
CN113257418A (en)*2021-03-292021-08-13广州科克里特生命科技有限公司Risk detection system and method for low back pain
CN114052670A (en)*2021-11-172022-02-18深圳市盛景基因生物科技有限公司Health risk assessment method and disease early warning system
CN114503208A (en)*2019-09-262022-05-13皇家飞利浦有限公司Computer-implemented system and method for alerting pregnant women of medical risks during pregnancy
CN115705922A (en)*2021-08-132023-02-17佛山市顺德区美的电热电器制造有限公司 Health management method, its device, and cooking utensil

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Cited By (8)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN112399819A (en)*2018-07-022021-02-233M创新有限公司Sensing system and method for monitoring a time-dependent process
CN110706822A (en)*2019-09-202020-01-17上海派拉软件股份有限公司Health management method based on logistic regression model and decision tree model
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CN114503208A (en)*2019-09-262022-05-13皇家飞利浦有限公司Computer-implemented system and method for alerting pregnant women of medical risks during pregnancy
CN110808102A (en)*2019-11-012020-02-18广州红腾文化科技有限公司Information pushing method, system and terminal of health platform
CN113257418A (en)*2021-03-292021-08-13广州科克里特生命科技有限公司Risk detection system and method for low back pain
CN115705922A (en)*2021-08-132023-02-17佛山市顺德区美的电热电器制造有限公司 Health management method, its device, and cooking utensil
CN114052670A (en)*2021-11-172022-02-18深圳市盛景基因生物科技有限公司Health risk assessment method and disease early warning system

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